3.2. The simulation of parameter-distributed processes is connected with discretization in space and time. The distribution of changes in the temperature x of a heated at the front massive long metal piece is described by the following partial differential equation: Əx(z,t) Ət 2x(z,t) əz² = a[x(z,t)-0,]+b· where 0, is the ambient temperature, a and b are constants. Derive the discrete model by applying discretization first with respect to z (z₁ = i.Az) and after that with respect to t (tk=k.At), using backward finite differences for the corresponding derivatives.

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Chapter2: The Kinetic Theory Of Gases
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3.2. The simulation of parameter-distributed processes is connected with discretization in space and time.
The distribution of changes in the temperature x of a heated at the front massive long metal piece is
described by the following partial differential equation:
Əx(z,t)
F x(z,t)
a[x(z,t) - 0,]+b-
Əz?
where 0, is the ambient temperature, a and b are constants. Derive the discrete model by applying
discretization first with respect to z (z; = i.Az) and after that with respect to t (tx = k.At), using backward
finite differences for the corresponding derivatives.
Transcribed Image Text:3.2. The simulation of parameter-distributed processes is connected with discretization in space and time. The distribution of changes in the temperature x of a heated at the front massive long metal piece is described by the following partial differential equation: Əx(z,t) F x(z,t) a[x(z,t) - 0,]+b- Əz? where 0, is the ambient temperature, a and b are constants. Derive the discrete model by applying discretization first with respect to z (z; = i.Az) and after that with respect to t (tx = k.At), using backward finite differences for the corresponding derivatives.
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